REHABILITATION OF A 15-YEAR ASPHALT PAVEMENT BY HOT-IN-PLACE RECYCLING
Bibliographic record
Abstract
Hot-in-place recycling of approximately 19 km of Highways 2:58 and 2:60 in the Peace Region of Alberta was undertaken following evaluation of its suitability through a field and lab study. The contract required 50 mm of the existing pavement to be recycled meeting mix specification requirements of air voids, penetration of the resulting asphalt cement, field compaction, and gradation. The work was done under an End Product Specification. The existing pavement was recycled by the addition of 0.3% asphalt pre-coated washed sand to the recycled asphalt pavement to allow the desired mix gradation to be attained. An addition of 0.3% of rejuvenating agent allowed the existing asphalt to attain a recovered penetration of 65-135 dmm. The resulting recycled mix was readily compacted from 97-99.5% of Marshall density. This ease of field compaction of the recycled mix was reported by others and appears to be obtained with less effort than conventional mixes of the same thickness. Air voids in the mix were within the range of 1.7 and 3.6 for the design mix and were generally smaller than the specification requirements of 3-4%, for HMA mixes. This trend is also consistent with reports by others. While there was concern relating to bleeding and instability of conventional mixes with low air voids, no such observation was made as the pavement was constructed 1 year ago. Quality control/quality assurance tests showed that the recycled pavement was generally consistent along the highway sections.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".